2007
DOI: 10.1016/j.jsb.2006.07.015
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Ruby-Helix: An implementation of helical image processing based on object-oriented scripting language

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Cited by 45 publications
(37 citation statements)
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References 29 publications
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“…The initial helical parameters were determined using the Brandeis Helical Package (19) to calculate the Bessel orders of the basic layer lines (6 and Ϫ6) ( Fig. 1A and B) and the Ruby-Helix package to estimate a repeat distance of 110 Å (20). These were later refined by IHRSR to a helical rise of 38 Å and a rotation between subunits of 22.4°.…”
Section: Methodsmentioning
confidence: 99%
“…The initial helical parameters were determined using the Brandeis Helical Package (19) to calculate the Bessel orders of the basic layer lines (6 and Ϫ6) ( Fig. 1A and B) and the Ruby-Helix package to estimate a repeat distance of 110 Å (20). These were later refined by IHRSR to a helical rise of 38 Å and a rotation between subunits of 22.4°.…”
Section: Methodsmentioning
confidence: 99%
“…Image processing for subtomogram averaging was performed as described previously ) using the IMOD software package ( Kremer et al, 1996), custom Ruby-Helix scripts (Metlagel et al, 2007) and the PEET software suite (Nicastro et al, 2006). The effective resolutions were ∼4.9 nm (Fig.…”
Section: Image Processingmentioning
confidence: 99%
“…Tomograms of intact axonemes with a high signal-to-noise ratio were selected and used for subtomogram averaging of the 96-nm repeats of the outer DMTs. Alignment and averaging of subtomograms were conducted using custom RubyHelix scripts (Metlagel et al, 2007) and the PEET (Particle Estimation for Electron Tomography) software suite (Nicastro et al, 2006). For subtomogram averaging of CP structures, we cut out the subvolumes of 220 × 220 × 220 pixels, including CP microtubules at the center of the volume, every 16 nm along the center of the axoneme.…”
Section: Image Processingmentioning
confidence: 99%